Sökning: "Local Interpretable Model-Agnostic Explanations LIME"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Local Interpretable Model-Agnostic Explanations LIME.

  1. 1. Generating an Interpretable Ranking Model: Exploring the Power of Local Model-Agnostic Interpretability for Ranking Analysis

    Magister-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Laura Galera Alfaro; [2023]
    Nyckelord :Explainable Artificial Intelligence; Learning To Rank; Local ModelAgnostic Interpretability; Ranking Generalized Additive Models;

    Sammanfattning : Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. However, the complexity of learning-to-rank (LTR) models poses challenges in understanding the underlying reasons contributing to the ranking outcomes. LÄS MER

  3. 2. Real-time Energy Performance Tracking

    Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Huu Thien Nguyen; [2023]
    Nyckelord :;

    Sammanfattning : Energy performance tracking is becoming increasingly significant in the building industry as a means of improving energy efficiency. This thesis provides answers to the questions related to improving energy tracking system in general, including its potentials, problems and challenges. LÄS MER

  4. 3. Increasing explainability of neural network based retail credit risk models

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Anton Evilevitch; [2023]
    Nyckelord :Explainability; Artificial Neural Network; Mortgage Credit Risk Modeling; Förklarbarhet; Artificiella Neurala Nätverk; Modellering av Hypotekskreditrisk;

    Sammanfattning : Due to their ’black box’ nature, Artificial Neural Networks (ANN) are not permitted for use in various applications. One such application is mortgage credit risk modeling. LÄS MER

  5. 4. Evolutionary Belief Rule based Explainable AI to Predict Air Pollution

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Sharif Noor Zisad; [2023]
    Nyckelord :Explainable AI; Explainability; Transparency; Belief Rule Based Expert System; Evolutionary Algorithm; Deep Learning;

    Sammanfattning : This thesis presents a novel approach to make Artificial Intelligence (AI) more explainable by using a Belief Rule Based Expert System (BRBES). A BRBES is a type of expert system that can handle both qualitative and quantitative information under uncertainty and incompleteness by using if-then rules with belief degrees. LÄS MER

  7. 5. Explainable Reinforcement Learning for Gameplay

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Àlex Costa Sánchez; [2022]
    Nyckelord :Explainable Artificial Intelligence; Local Interpretable Model-agnostic Explanations; Reinforcement Learning; Shapley Additive Explanations; Intel·ligencia Artificial Interpretable; Explicacions model-agnòstiques localment interpretables; Aprenentatge per reforç; Explicacions additives de Shapley; Förklarbar artificiell intelligent; Lokala tolkningsbara modellagnostiska förklaringar; Förstärkningsinlärning; Shapleys additiv förklaringar;

    Sammanfattning : State-of-the-art Machine Learning (ML) algorithms show impressive results for a myriad of applications. However, they operate as a sort of a black box: the decisions taken are not human-understandable. LÄS MER